Remote Sensing Of Cloud Base

Remote Sensing of Cloud Base is a geophysical measurement technique that determines the altitude of the lowest boundary of cloud layers from a distance, typically using active or passive electromagnetic sensors on ground-based, airborne, or satellite platforms, distinguished from in situ measurements by its non-contact, observational methodology.

29

Publications

1.2K

Citations

119

Authors

56

Institutions

Publications per year

2017–2026

11

Authors

119

  1. SS
    Som Sharma

    Physical Research Laboratory, India

    3 publications · 72 citations

    3

    h-index

  2. KD
    Keith D. Hutchison

    Lockheed Martin (United States), United States

    2 publications · 95 citations

    2

    h-index

  3. EE
    Eugene E. Clothiaux

    Pennsylvania State University, United States

    2 publications · 78 citations

    2

    h-index

  4. JK
    Jan Kleissl

    University of California San Diego, United States

    2 publications · 122 citations

    2

    h-index

  5. TF
    Tao Fa

    China Academy of Engineering Physics, China

    2 publications · 73 citations

    2

    h-index

1–5 of 119

Venues

  1. International Journal of Remote Sensing

    3 publications · 138 citations

    3

    h-index

  2. Journal of Applied Meteorology

    3 publications · 185 citations

    3

    h-index

  3. Atmospheric Research

    2 publications · 49 citations

    2

    h-index

  4. Remote Sensing of Environment

    2 publications · 74 citations

    2

    h-index

  5. Solar Energy

    2 publications · 122 citations

    2

    h-index

1–5